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Record W2111804559 · doi:10.1017/s0714980800001525

Comparison of Adult Day Services in Atlantic Canada, Maine, and Vermont

2002· article· en· W2111804559 on OpenAlexaboutno aff
Lori E. Weeks, Karen A. Roberto

Bibliographic record

VenueCanadian Journal on Aging / La Revue canadienne du vieillissement · 2002
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
Fundersnot available
KeywordsAttendanceGovernment (linguistics)Participant observationState (computer science)BusinessGerontologyGeographyPsychologyEconomic growthMedicineSociologyComputer scienceEconomics

Abstract

fetched live from OpenAlex

ABSTRACT In both Canada and the United States, adult day services (ADS) are an integral component in the array of long-term care services available. We compared characteristics of programs and participant characteristics in Atlantic Canada, Maine, and Vermont. Directors of 47 ADS programs responded to a mailed survey. Individual ADS programs in each province and state exhibited unique program and participant characteristics. ADS programs in the two countries differed with respect to: affiliation, location, levels of government support, participant fees, organizational sponsorship, hours of operation, months of attendance, and hours attended per day. Participant characteristics that varied between the two countries were educational level, physical needs, and cognitive status. The results of this study provide new comparative information that can be used in guiding future research and program development of ADS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.184

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.276
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2002
Admission routes1
Has abstractyes

Explore more

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